Nvidia may have a sizable lead, but money is an excellent motivator, and tech companies old and new are striving to end its dominance of the AI chip market — or at least secure themselves a sizable slice of it.
While some of these groups, including AMD, are following Nvidia’s lead and optimizing GPUs for generative AI, others are exploring alternative chip architectures.
Intel, for example, markets field programmable gate arrays (FPGAs) — an architecture with reprogrammable circuitry — as AI accelerators. Startup Groq, meanwhile, is developing a brand new kind of AI chip architecture it calls a “language processing unit” (LPU) — it’s optimized for large language models (LLMs), the kinds of AIs that power ChatGPT and other chatbots.
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